基于模糊模式的图书质量识别方法仿真研究

摘要

With the development and application of information technology, digital, precise and high efficiency of library management are the key topics in this field.This article aims to the problem for the bookcluality, bases on fuzzy theory, analyzes the basic principle of fuzzy pattern recognition, researches the solution of the individual and group fuzzy recognition.The book quality is fuzzied, the inner product, outer product and closeness are calculated, the nearest choice principle is applied in calculation and classification, and Matlab is used for fuzzy recognition.The results show that using max nearest choice method in group fuzzy recognition of the quality of books can get high aceuracy, clear result and good effect.%研究图书管理的数字化、精确化、高效化是识别图书质量领域研究中的重点课题.传统的方法对图书管理模式进行分类识别,很难给出符合实际的经典数学意义下的精确描述.为了图书质量分类的准确性,提出了模型化的一种模糊过程.根据模糊数学理论,采用模糊识别模式,研究了个体模糊识别问题和群体模糊识别问题的解决方法,对图书质量识别问题进行模糊化处理,计算模糊子集的内积、外积、贴近度,应用择近原则进行模糊计算和分类,利用Matlab软件进行了仿真.结果表明,采用群体模糊识别方法,提高了解决图书质量模糊识别效果,识别精度较高,结果明晰,为图书管理提供了科学依据.